SPSS is a comprehensive system for editing and analysing all sorts of data. These data may come from any source: scientific research, a customer database, Google Analytics or even the server log files of a website. SPSS uses these data to generate tabulated reports, charts and plots of distributions and trends, descriptive statistics and complex statistical analysis. SPSS has scores of statistical and mathematical functions, scores of statistical procedures and a very flexible data handling capability. It is one of the most popular statistical package, which can perform highly complex data manipulation and analysis with ease. It is designed for both interactive and non-interactive users.
SPSS is one of the most popular software used for research work by businesses,
healthcare professionals, non-governmental organisations, survey companies, government departments, students and educational institutions. SPSS has enabled these users to obtain valuable information from their data. The SPSS software is built around the SPSS programming language. Basic users can accomplish most basic data analysis through menus and dialog boxes without having to actually learn the SPSS language. Advanced users can learn to work directly in the programming language, because this is how they document their work, and good documentation is key to both trouble-shooting and replicating complicated projects.
Datalyst Africa is inviting all interested persons and organisations from any part of this world to a 3-Day SPSS workshop to be held (Dates - To be advised) in Harare in Zimbabwe. The SPSS training guides participants through the fundamental techniques (from basic to advanced) of using SPSS for typical data analysis process. We will start with an overview of SPSS (Version 24) and its usage. Participants will learn practically how to pre-code questionnaires, capture data, clean data and perform basic and advanced data analysis in SPSS. The training workshop will provide all participants with hands on opportunity to acquire necessary skills in quantitative data analysis using SPSS. The participants at the end of the workshop will be equipped with appropriate statistical tools that will facilitate data driven decision-making. SPSS perform a variety of data analysis and presentation functions, including statistical analysis, graphical presentation of data, correlation and regression (Linear, Multiple and logistic regression)
Purpose of the Workshop
The purpose of this workshop is to introduce participants to the basic, intermediate and advanced practice of statistics by using SPSS and provide a common platform for the practical learning of the application of statistics through SPSS. The workshop is designed to provide participants with transferable skills, to understand the uses of SPSS, as a tool to summarize and aid in the interpretation of research findings.
TOPICS TO BE COVERED
DAY 1
- Data management – Data types, Levels of measurement, data handling techniques.
- SPSS environment - Introduction to SPSS, Data coding, Data capturing in SPSS, Data cleaning In SPSS, Importing and exporting files in SPSS, Data Manipulation in SPSS, Sorting cases in SPSS, Selecting cases in SPSS, Data transformation in SPSS, Measures of central tendency and dispersion in SPSS.
- Practical Exercises
DAY 2
- Graphs & Tables in SPSS - Scatter plots and other graphs, Frequency tables, Cross tabs & Contingency tables
- Parametric and Non-Parametric Tests in SPSS.
- Correlation in SPSS.
- Regression in SPSS - Exploring assumptions, Simple linear Regression Analysis, Multiple regression, Logistic Regression
- Factor Analysis
DAY 3
- Using Syntax in SPSS
- Comparing Two Means in SPSS.
- Comparing Several Means in SPSS.
- Hypothesis Testing in SPSS
- One-Way ANOVA in SPSS.
- ANCOVA & MANOVA in SPSS
Learning Outcomes
By the end of the workshop
- Participants will develop an ability to independently enter, organise and save data in SPSS.
- Participants will be able to import data into SPSS, recode variables, generate tables, and execute some basic descriptive analysis.
- Participants will be able to produce and interpret graphs & tables in SPSS and be familiar with SPSS presentation of statistical output
- Participants will be able to perform Parametric and Non-Parametric Tests in SPSS.
- Participants will be able to conduct descriptive and advanced inferential statistics
Who should attend?
This workshop is ideal for anyone working, or planning to work, with survey data. Thus the workshop will be useful to Business Analysts, M&E staff, Project officers Academicians, Researchers and all those in need of an efficient means of handling and analysing quantitative data.
Why SPSS?
- Effective data management - SPSS is easier and quicker to understand and use for the program knows the location of the cases and the variables. It reduces the manual work of the user to a great extent.
- Wide range of options - SPSS offers a wide range of methods, graphs and charts to users. It also comes with better screening and cleaning option of the information as a preparation for further analysis
- Flexibility - SPSS can take data from almost any type of file and use them to generate tabulated reports, charts and plots of distributions and trends, descriptive statistics and conduct complex statistical analyses
Materials Required
Participants should bring their own laptops with at least 1GB RAM and 10 GB free hard disk space or greater.
Registration Fee: To be advised
Fee includes workshop fees, breakfast, lunch and refreshment breaks (for all the 3 days). Course material will be available to all participants during or after the workshop.
Cancellations
Cancellation notices must be received in writing 10 days before the workshop to receive a full refund. Due to workshop capacity, we regret that we are unable to refund fees for cancellations after this date. Please email your cancellation notice to info@datalystafrica.com